Abstract: Replaying a trace that relies on processor undefined behavior includes identifying reliance on processor undefined behavior by an instruction executed based on replay of traced program execution from a trace file. Based on the reliance on the processor undefined behavior, the replay includes one or more of: (i) initiating a notification of the reliance on the undefined behavior, (ii) skipping to a key frame in the trace file, and resuming replay at the key frame, (iii) forking replay using two or more potential behaviors, or (iv) continuing replay using a selected behavior that is selected from among the two or more potential behaviors.

Abstract: The current document is directed to automatically, semi-automatically, and/or manually monitoring a computing facility to detect and address undesirable operational states in computing facilities, including large distributed computing systems. The currently disclosed monitoring methods and systems employ case-based inference to diagnose and ameliorate undesirable operational states. In disclosed implementations, a database is maintained to store and provide access to records of previously handled undesirable operational states and the actions taken to remediate the undesirable operational state is maintained in order to facilitate case-based reasoning inference.

Abstract: A field device for determining a measured variable and that also issues a measured value in the case that an error state is present. The field device includes a sensor unit, a signal outlet, and an output device. The output device issues a state signal and/or a measuring signal via the signal outlet, wherein the state signal is assigned to a state of the field device. Additionally, the output device fulfills a safety function in the case that the state of the field device arises and thereby issues both the state signal assigned to the state as well as the measuring signal. Furthermore, there is a method for communicating the presence of a state of a field device.

Abstract: In one embodiment, a method includes selecting a set of logged user-initiated events of a user. The method further includes determining timing information, device-identification information, and user-location information for the set of logged user-initiated events. In addition, the method includes correlating the set of logged user-initiated events to recurring time intervals of a time map. Also, the method includes determining an overall density, a location-specific density, and a device-specific density of the set of logged user-initiated events for at least some recurring time intervals of the time map. Furthermore, the method includes generating a time-based activity pattern of the user, the time-based activity pattern comprising, for the at least some recurring time intervals of the time map, information related to the overall density, the location-specific density, and the device-specific density. In addition, the method includes publishing the time-based activity pattern to a scheduling interface.

Abstract: A method for temperature compensation of a signal in a vibratory meter is provided. The method includes obtaining one or more signals from a meter assembly in the vibratory meter, providing the one or more signals to a meter electronics of the vibratory meter, and compensating the one or more signals with a signal parameter offset, wherein the signal parameter offset is based on a temperature of the meter electronics.

Abstract: An abnormality diagnosing method includes a model generation step of generating a simulation model of a monitoring target, an operation start step of starting an operation of the monitoring target, a measurement step of measuring an internal state quantity in the operating state of the monitoring target and extracting a measured value, a prediction step of inputting into the simulation model same control input value used in the operating state of the monitoring target and calculating a predicted value of the internal state quantity of the monitoring target, a Mahalanobis distance calculation step of calculating a Mahalanobis distance from a difference between the measured value and the predicted value, and an abnormality diagnosis step of diagnosing whether the operating state of the monitoring target is abnormal based on the Mahalanobis distance.

Abstract: Provided are a method and apparatus for managing medical data. The method includes sensing an error event of a medical diagnosis device; obtaining image data by capturing images of a user input of the medical diagnosis device with respect to a first period of time associated with a time that the error event is sensed; obtaining log data corresponding to the image data, from a console device for controlling the medical diagnosis device; and transmitting the image data and the log data to an external server.

Abstract: Methods and systems to evaluate data center performance and prioritize data center objects and anomalies for remedial actions are described. Methods rank data center objects and determine object performance trends. Methods calculate an object rank of each object of the data center over a period of time and calculate an object trend of each object of the data center based on relative frequencies of alerts at different times. The objects may be prioritized for remedial actions based on the object ranks and object trends.

Abstract: Methods, systems, and apparatus for determining a maintenance issue are described. An audio signal is obtained and analyzed to generate an audio signature. A characteristic of a component is identified based on the audio signature and an action is determined based on the characteristic of the component.

Abstract: A method of determining the span of logical entities in a network is provided. The method generates a directed graph. Each node of the graph corresponds to a logical network entity. Each edge of the graph has one or two directions. A direction from a first node to a second node identifies the first node as the source of span for the second node. The method determines the span of each node based on the direction of the edges of the directed graph. The method groups each set of nodes that are accessible by all other nodes in the set in a strongly connected group (SCC) sub-graph. The method generates a group node in a directed acyclic graph (DAG) to correspond to each SCC sub-graph in the directed graph. The method assigns the span of each SCC to the corresponding group node of the DAG.

Abstract: A process for determining a problematic condition while running software includes: loading a first pattern data set into a volatile memory of a computer, with the first pattern data set being associated with a set of problematic conditions, determining that a runtime symptom code generated while running software on the computer matches a pre-defined symptom code in a set of pre-defined symptom codes, collecting information during runtime according to a set of data collection instructions as a set of collected data, and determining, by applying a set of logic data to the set of collected data, a first problematic condition of the set of problematic conditions triggered the runtime symptom code.

Abstract: A system for collecting vehicle crash data at a vehicle crash site of a vehicle crash is provided. The system may include an emergency response unit that includes an emergency response vehicle and an unmanned aerial vehicle (UAV) that is automatically deployed from the emergency response vehicle at the vehicle crash site. The UAV may be an autonomous or semi-autonomous drone, and include a processor, memory, and sensor, wherein the sensor collects vehicle crash data (such as image, video, or audio) at the crash site. The system may include a remote computing device and an insurance computing device to process the vehicle crash data collected by the UAV and/or initiate a crash insurance claim. The vehicle crash data may be used for one or more insurance-related purposes or activities, such as handling, adjusting, or generating auto or homeowners insurance claims; crash reconstruction; fault determination; damaged vehicle repair; and/or buildup identification.

Abstract: An analytics processing system generates analytics from a collection of unstructured data by identifying trends in the data and deriving associations or correlations between series of values. Each series is generated from a set of field labeled values in the set, and compared to other series in the collection. Identified relationships in the series are scored based on depiction of an illustrative, predictive, or non-random association, and ranked by a scoring metric for analytical value. A visualization of the relationships are ranked and rendered such that the visualization highlights the association in a manner not achievable by simple inspection of the field values. Relationships are graphed by lines, circles, bars (histogram) on labeled axes based on the series. In this manner, a user may generate analytic results from a large data set, and pinpoint significant associations by paging through renderings scored as the most illustrative of notable trends.

Abstract: A capacitor status monitor that attaches across the bushings on the exterior of a capacitor container (commonly referred to as a “can”). The capacitor status monitor, which draws operating power from the power line, detects the internal impedance of the capacitor can to detect internal failures down to the level of a single capacitor pack. The monitor may include a radio transmitter and/or a visual status indicator, such as an electronic flag, indicating the detection of an internal capacitor failure. The monitor may also include a power supply current transformer providing power to the monitor from the power line. Capacitor status monitors throughout the capacitor bank may communicate with a remote transmission unit (RTU), which communicates with a central control station that schedules capacitor maintenance based on the data received from the status monitors.

Abstract: A vehicle diagnosis system determines whether a vehicle has an abnormality in a temporal engine stop function or a power regeneration function that negates a greenhouse gas reduction effect of the engine. When the vehicle diagnosis system determines an abnormality, the vehicle diagnosis system provides a notification of the abnormality.

Abstract: A multi-stage control system for inspection of a person includes at least one control device at a first location and at least a follow-up control device at a second location. The control device is configured to determine a follow-up control area of the person, store data defining the follow-up control area in a data set, generate a unique identification feature for the person based on a detected external feature of the person, and allocate the person to the data set. The follow-up control device comprises a display device for displaying a graphical representative of a person, and is configured to display a visually recognizable follow-up control area of the person for finding hidden objects in accordance with a data set allocated to the person. The follow-up control device can also be configured to generate the unique identification feature for the person based on a detected feature of the person.

Abstract: A method for updating operating parameters of a consumer appliance. Respective operating conditions are received regarding a plurality of consumer appliances that are communicatively coupled to a database. Historical data tracking at least one component in the plurality of consumer appliances based on the operating conditions is generated. A trend, based on the data, as well as a first set of optimal operating parameters for operating the component in a first consumer appliance of the plurality of consumer appliances is determined. The first set of updated operating parameters is transmitted to the first consumer appliance to effect a change in an operation of the component in the first consumer appliance.

Abstract: Methods, apparatuses, systems, and implementations of an HMI control system for BOP rigs are disclosed. At least some versions of the disclosed systems enable a user to configure interface settings, perform actions on a BOP stack, view diagnostics, perform testing, and observe and rectify alarms. The disclosed systems may enable a user to more efficiently navigate between different interfaces and perform HMI functions due to a control zone configuration. Additionally, the control zone configuration may reduce operator error by assigning certain control zones to particular functions and requiring the user to take affirmative steps to perform destructive functions.

Abstract: Disclosed are some examples of database systems, methods, and computer program products for processing log files. In some implementations, a server of a database system accesses a log file having a release version. The log file includes data entries identifying system events corresponding to user activity. The server generates or updates, based on the release version of the log file, a metadata file indicating approved entry types and approved data. The server also generates or updates, based on the log file and the metadata file, customer-facing log files. Each customer-facing log file is associated with a corresponding customer entity capable of being serviced by the database system. Each customer-facing log file includes a subset of the entries and a subset of the data items of at least one of the entries.

Abstract: In certain embodiments, a controller turns a heat pump system on in heating mode or cooling mode and determines a position for the heat pump system's reversing valve based on an O/B setting. The O/B setting indicates to configure the reversing valve in a first position that causes refrigerant to flow in a first direction when in heating mode and in a second position that causes the refrigerant to flow in a second, opposite direction when in cooling mode. The controller determines whether to maintain or reverse the O/B setting. If the heat pump system heats while in the heating mode or cools while in the cooling mode, the O/B setting is maintained. If the heat pump system cools while in the heating mode or heats while in the cooling mode, the O/B setting is reversed.

Abstract: Systems and methods providing actions and communications responsive to real-time events incorporating local, remote and learned information are disclosed. The system includes a cloud application on a cloud server and a premises device at a premises. The premises device has a plurality of sensors coupled to and/or included in the premises device. The cloud application receives signals, status and other information from the premises device. The cloud application also obtains information from third party information sources. The cloud application obtains location and other pertinent information about key persons. The cloud application evaluates actions to take in response to signals, status and information received from the premises device taking into consideration information from the third party information sources and information about key persons.

Abstract: In one embodiment, a system for providing privacy protection of biometric related information for an occupant in a vehicle is provided. The system includes a memory device and at least one controller. The at least one controller including the memory device and is configured to receive first biometric information for a vehicle occupant from a plurality of biometric sensors positioned within a seat of the vehicle and to receive a first signal indicative of a first privacy setting from a plurality of privacy settings to share the first biometric information. The at least one controller is further configured to transmit the first biometric information internally within the vehicle in response to the first signal and to prevent the first biometric information from being transmitted externally from the vehicle in response to the first signal.

Abstract: A method, apparatus and computer program product including determining a set of objects to be represented in a computer model, determining the relationships between the object to be represented in the computer model, creating representations in the computer model of the set of objects and relationships between the objects, the representations including big data architecture representations and role representations, and where analysis may be performed on the representations of the computer model.

Abstract: The present invention is concerned with a method for diagnosing the state of electromechanical systems in which electrical rotating machinery is used on the basis of analysis of impedance estimated from at least two currents and two voltages, measured during an operation of the electromechanical system. The method may be especially useful in the condition monitoring of electric motors and generators. The invention combines the information from both the voltage and current signals measurable at the motor terminals. Specifically, the measurements of voltage and current from two or more phases of a polyphase electrical machine are combined to estimate the impedance of the machine, impedance being the resistance to the flow of current that a circuit exhibits when a voltage is applied to it.

Abstract: Vehicle systems and methods can include a traction battery and a controller to implement a state estimator configured to output battery state based on internal resistance of the traction battery and a system dynamics estimation of the traction battery using discrete battery measurements of voltage and internal resistance, and operate the traction battery according to output of the state estimator. For example, the controller can identify a system dynamics model of the traction battery using a battery input current profile and a battery output voltage profile measured within a predefined time period, transform the identified system dynamics model to a state-space model having a diagonal system matrix consisting of system Eigenvalues through the Eigendecomposition, estimate battery current limits and available power limits from the transformed system dynamics model, and operate the traction battery according to system dynamics model identified using estimated battery current limits and available power limits.

Abstract: A function diagnostic system for a filter of an internal combustion engine may be provided. The function diagnostic system may include a PM sensor and an electronic control unit. The electronic control unit may be configured to: calculate a NOx conversion rate in the filter; determine whether a NOx converting function of the filter is normal; execute a sensor regeneration process for removing the PM deposited between an electrodes of the PM sensor; continuously monitor an output value of the PM sensor after a predetermined PM deposition restart time, after execution of the sensor regeneration process is finished; and determine that there is an abnormality in a PM trapping function of the filter, when the output vale of the PM sensor, which has been continuously monitored, is reduced when the electronic control unit determines that the NOx converting function of the filter is in a normal status.

Abstract: A system detects a candidate for an object which intrudes based on images of a visible light camera and a far-infrared camera that monitor the sea, further derives a size, a velocity, an intrusion direction, and linearity, and identifies the object to some extent. Also, the system distinguishes between a boat, a human, and a floating matter based on the luminances or the like in a far-infrared image. In addition, the system observes the periodicity of normal waves on the sea surface at a location without any object by performing the Fourier transform on the image. The accuracy of identification of an object is improved based on the correlation between the motion of waves in a normal state and the motion of the object.

Abstract: This disclosure relates generally to methods and systems for determining whether at least a first component and a second component of a personal protection (PP) configuration are compatible so as to be assembled into an approved PP configuration, responsive to being compared against at least one predetermined criterion. Included is a smart tag for each of the first and second components. The first and second smart tags include respective first and second data. A data acquiring system is provided for acquiring the first and second data and a data processing system processes the acquired first and second data for determining if the first and second components are compatible to be assembled as an approved PP configuration.

Abstract: A generative adversarial network (GAN) system includes a generator sub-network configured to examine one or more images of actual damage to equipment. The generator sub-network also is configured to create one or more images of potential damage based on the one or more images of actual damage that were examined. The GAN system also includes a discriminator sub-network configured to examine the one or more images of potential damage to determine whether the one or more images of potential damage represent progression of the actual damage to the equipment.

Abstract: Provided is an electronic device that includes an update-processing unit that updates a control program for the device based on an update program that is recorded on a recording medium. The electronic device includes a USB interface and an update-control unit. Devices can be connected to the USB interface. The update-control unit determines whether or not a device is connected to the USB interface when the power is turned ON, and when a device is connected, waits when it is not possible to immediately determine whether or not that devices is the recording medium.

Abstract: Methods, systems, and devices are described for orchestrating server management in an information technology network. The described techniques may be implemented to manage any number of networked severs, whether local, remote, or both. Server orchestration may leverage a central, cloud-based management system and one or more autonomous agents installed on servers within the network. The autonomous agents may each be registered with the supervisory server and may operate with awareness of one another.

Abstract: Techniques are described for detecting anomalous behavior in program execution. In one example, a method includes logging occurrence of one or more key events during execution of a program. Each key event has a corresponding key event data structure associated with the program, and logging includes storing records associated with the key events, wherein each record is based on the key event data structure associated with the key event. The method further includes analyzing the records to determine if a current pattern of key events associated with the program during execution matches an expected pattern of key events and generating a security alert if the current pattern of key events does not match the expected pattern of key events for the program.

Abstract: The present disclosure relates to a method for manufacturing a component of a field device for determining or monitoring a process variable of a medium in a container, wherein the component is created via a 3D printing method, wherein during the creation the component is supplied at an intermediate state of the component with an exciter signal, wherein a response signal of the component to the exciter signal is registered, wherein shape and/or structure of the component are/is modified via the 3D printing method, when the current response signal does not agree with a predetermined response signal, and wherein the two previous method steps are alternately repeated, until the current response signal agrees with the predetermined response signal within predetermined tolerance limits.

Abstract: A method for tracking procedures performed on personal protection equipment (PPE) and actions of individuals includes the following steps. An article of PPE configured with a smart tag is provided to an individual prior to performance of a task. After the individual performs the task, the article of PPE is processed. Information is retrieved from the smart tag during at least one of: before, during and after processing the article of PPE. After the performance of the task, the individual's data is read and the individual enters into a designated area.

Abstract: The present disclosure relates to a system for monitoring structural health of bonded components includes an energy-harvesting device. The system also includes a damage-detection module powered by electrical energy from the energy-harvesting device. Further, the system includes electrically-conductive ink applied onto the bonded components and across an interface between the bonded components. The electrically-conductive ink forms an electrical circuit with the damage-detection module. Additionally, the system includes a visual-indication device electrically coupled with the damage-detection module. The visual-indication device is configured to visually indicate damage to the bonded components in response to receipt of electrical energy. The damage-detection module is configured to detect a break in the electrically-conductive ink and to transmit electrical energy from the energy-harvesting device to the visual-indication device in response to detecting the break in the electrically-conductive ink.

Abstract: A method for analyzing performance of a computer system where at a plurality of time intervals, a set of KPIs of a database and database performance outputs are monitored. A database performance value is calculated based on the monitored KPIs and one or more database performance outputs. In response to determining the database performance value is below a first threshold, a KPI correlation coefficient is calculated. The calculated KPI correlation coefficient with the greatest value is selected as a target KPI. In response to determining that a count of functions of the target KPI meets a second threshold, a dynamic tabular representation of the determined target KPI is generated. A correlation matrix is generated based on the generated tabular representation and the plurality of time intervals and a first set of target functions are identified based on the generated correlation matrix.

Abstract: Example methods, apparatuses, and user interfaces are presented for generation of Application Business groups and determining system health and integrity based thereon. An Application Business group is a correlated group of Applications forming a business process or business service. Each application typically has one or two central application services referred here as an Application Epicenter. After determining an Epicenter, all correlated and important application services one hop away can become part of the Application. Interfaces allow for expansion or shrinking the Application by selecting a number of hops from the Epicenter. Once these Epicenters are defined, additional graphical user interfaces display health and status data of the Application centered around the Epicenter, including any fault data to diagnose problems in the Application.

Abstract: In one embodiment, a device in a network loads an anomaly detection model for warm-start. The device filters input data for the model during a warm-start grace period after warm-start of the anomaly detection model. The model is not updated during the warm-start grace period based on the filtering. The device determines an end to the warm-start grace period. The device updates the anomaly detection model using unfiltered input data for the anomaly detection model after the determined end to the warm-start grace period.

Abstract: Side-facing belted aircraft seats include a tactile signaling unit to induce movement of the seat occupant. For such purpose, the signaling unit may be provided with a signaling lid covering a female buckle of a lap belt restraint assembly. The signaling lid is moveable between a closed position wherein engagement of a male tab of the lap belt with the female buckle is precluded and an open position wherein engagement of the male tab with the female buckle is allowed. The signaling lid thereby provides tactile stimulation when in the open position thereof to induce the seated occupant to shift on the cushioned seat so that a midsaggital plane of the occupant is aligned with an offset plane of the seat that is offset by a predetermined distance toward one side of the seat relative to a midplane of the seat.

Abstract: A load balanced system may incorporate instrumented systems within a group of managed devices and distribute workload among the devices to meet both load balancing and data collection. A workload distributor may communicate with and configure several managed devices, some of which may have instrumentation that may collect trace data for workload run on those devices. Authentication may be performed between the managed devices and the workload distributor to verify that the managed devices are able to receive the workloads and to verify the workloads prior to execution. The workload distributor may increase or decrease the amount of instrumentation in relation to the workload experienced at any given time.

Abstract: A display device includes one or more sensors to sense activity in a physical region near the display, as well as a permission component, account component, and a data gathering component. The permission component is configured to determine a permission level corresponding to the display device. The account component is configured to determine an account status that is based on the permission level. The data gathering component is configured to gather usage data for the display device based on the permission level. The usage data includes data from the one or more sensors regarding activity in the physical region near the display device. The transmission component is configured to transmit the usage data to a remote server.

Abstract: Methods are provided for clustering events. Data is received at an extraction engine from managed infrastructure. Events are converted into alerts and the alerts mapped to a matrix M. One or more common steps are determined from the events and clusters of events are produced relating to the alerts and or events.

Abstract: A continuous anomaly detection service receives data stream and performs continuous anomaly detection on the incoming data streams. This continuous anomaly detection is performed based on anomaly detection definitions, which define a signal used for anomaly detection and an anomaly detection configuration. These anomaly detection definitions can be modified, such that continuous anomaly detection continues to be performed for the data stream and the signal, based on the new anomaly detection definition.

Abstract: In one aspect, a method includes receiving samples of data generated from a storage array related to a performance parameter; determining, for each sample, whether a sample is anomaly; and determining, for each sample identified as an anomaly, whether the anomaly should be reclassified to a spike or a drop.

Abstract: A non-signal analyzing method for a data storage system including a storage device connected to a host via a data line and a power line includes; communicating a non-signal from the host to the storage device via the power line, detecting the non-signal in the storage device and return the non-signal through to the host via the data line, and analyzing the returned non-signal using a protocol analyzer to generate analysis results characterizing the returned non-signal.

Abstract: A system for performing sensor maintenance, including redundant sensors to collect one or more data points; one or more non-transitory storage mediums; a processor; and an output device; wherein one of the non-transitory storage mediums receives the one or more data points; wherein one of the non-transitory storage mediums includes one or more instructions for performing two or more statistical calculations; and wherein the processor carries out the instructions. The method for using the system includes: the non-transitory storage medium receiving one or more data points from the redundant sensors; the processor performing the statistical calculations on the data points to generate one or more processed data points and comparing the processed data points to a threshold value; and the non-transitory storage medium creating an alert when the processed data points exceed a threshold value for a period of time; and displaying the alert on the output device.

Abstract: A method for deploying application components to Information Technology (IT) resources using an application platform controller includes requesting a network slice for the application components from a network controller. Priority values are assigned to the application components defining an order in which the application components are planned to be deployed. A deployment plan is computed for the application components. The network slice is reconfigured based on a determination that no deployment plan which meets the requirements is possible using the requested network slice. The application components are deployed sequentially, using the priority values, to host sites of the IT resources using information from the network controller including existing registrations of users of the application to an access network of the host sites such that replicas of the application components are provided at the host sites which provide a minimum latency with respect to a location of the users.

Abstract: The subject technology provides a drillable time-series heat map, which combines information of separate network element (e.g., switch, router, server or storage) and relates them together through impact zones to correlate network wide events and the potential impact on the other units in the network. The subject technology also brings together the network and its components, the distributed application(s) and a heat map controller to proactively communicate with one another to disseminate information such as failures, timeouts, new jobs, etc. For an individual job (e.g., for a distributed application), the subject technology may monitor consumption of resources during different phases of execution to provide individual job profile data that could be presented as a drillable heat map. The heat map, in this regard, nay include resource utilization heat metrics of resources such as CPU, Input/Output (I/O), memory, etc., in the heat map or graphs and presented along with network activity.

Abstract: A method and system resolves failures in a submersible pump. The method and system may receive data from one or more sensors associated with the submersible pump. The method and system may analyze the received data to detect a failure in the submersible pump. The failure may be due to a build-up of debris or particulates that has caused the submersible pump to stall or jam. To resolve the detected failure, the method and system may activate a mechanical shaker coupled to the submersible pump that produces vibrations to physically shake the submersible pump.

Abstract: A method of controlling positive and negative contactors in a high voltage electrical system includes sensing current flowing through each contactor prior to opening of the contactor and/or after closing of the contactor. A negative contactor weighted value is computed based at least partially on the sensed current flowing through the negative contactor during opening and/or closing. A positive contactor weighted value is computed based at least partially on the sensed current flowing through the positive contactor during opening and/or closing. The order of opening and/or closing of the contactors is determined utilizing at least one of the negative contactor weighted value and the positive contactor weighted value.